## Description

An Introduction to Computational Fluid Dynamics, an introduction to computational fluid dynamics training course has been published by Udemy Academy. A working knowledge of Computational Fluid Dynamics (CFD) is rapidly becoming a prerequisite in many engineering fields. In this course you will learn the fundamentals of this fascinating tool, including the following concepts and related applications: using Taylor series for tailoring (no pun intended) approximations to derivatives with desirable accuracy, discretization of differential equations, and behavior prediction (stability and accuracy) of these designs, advantages and disadvantages of explicit versus implicit methods, modified PDEs and error types (Dissipative vs Dispersive), intuition behind mathematical ideas such as fundamental derivative and divergence, deriving the system of Navier-Stokes (NS) equations from Basics, manipulating and simplifying the NS equations to find the right model for your application, discretizing the NS equations using methods such as the McCormack scheme with artificial viscosity, using different fidelity models (and Python code attached) to solve interesting problems such as door cavities, shock tubes, and shock-vortex interactions, extending the solvers presented to handle a variety of conventional problems As the course title suggests, this is an (extended) introduction, meaning that several concepts are deliberately (and unfortunately) omitted, including, but not limited to: converting the NS equations to a non-Cartesian coordinate system, Reynolds averaging and turbulence modeling, large/detached eddy simulations, grid generation

### What you will learn

• Learn how to derive, manipulate and simplify the Navier Stokes equations
• Discretization of fluid dynamic equations and prediction of accuracy, stability and error of numerical designs
• Write, run, develop and validate CFD solvers
• Apply the lessons learned to a number of clever applications such as the shock tube and cap hole.

### Who is this course suitable for?

• Bachelor student
• Engineers looking to diversify their skills

### An Introduction to Computational Fluid Dynamics course specifications

• Publisher: Udemy
• teacher : Sebastian Thomas
• English language
• Education level: introductory
• Number of courses: 30
• Training duration: 12 hours and 1 minute

### Course prerequisites

• Basic Calculus
• Newton’s Laws of Motion
• Vector Calculus (Optional)
• Programming (Optional)
• No experience with CFD software is assumed

### Installation guide

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